Towards bidirectional hierarchical representations for attention-based neural machine translation

doi:10.18653/v1/d17-1150

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

Status	已發表Published
	Towards bidirectional hierarchical representations for attention-based neural machine translation
	Yang，Baosong 1; Wong，Derek F.1 ; Xiao，Tong 2; Chao，Lidia S.1; Zhu，Jingbo 2
	2017
Source Publication	EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings
Pages	1432-1441
Abstract	This paper proposes a hierarchical attentional neural translation model which focuses on enhancing source-side hierarchical representations by covering both local and global semantic information using a bidirectional tree-based encoder. To maximize the predictive likelihood of target words, a weighted variant of an attention mechanism is used to balance the attentive information between lexical and phrase vectors. Using a tree-based rare word encoding, the proposed model is extended to sub-word level to alleviate the out-of-vocabulary (OOV) problem. Empirical results reveal that the proposed model significantly outperforms sequence-to-sequence attention-based and tree-based neural translation models in English-Chinese translation tasks.
DOI	10.18653/v1/d17-1150
URL	View the original
Language	英語English
Scopus ID	2-s2.0-85052946496
Fulltext Access	View Full-Text via DOI View Full-Text via Scopus
Citation statistics
Document Type	Conference paper
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding Author	Wong，Derek F.
Affiliation	1.NLP2CT Lab,Department of Computer and Information Science,University of Macau,Macau,China 2.NiuTrans Lab,Northeastern University,Shenyang,China
First Author Affilication	University of Macau
Corresponding Author Affilication	University of Macau
Recommended Citation GB/T 7714	Yang，Baosong,Wong，Derek F.,Xiao，Tong,et al. Towards bidirectional hierarchical representations for attention-based neural machine translation[C], 2017, 1432-1441.
APA	Yang，Baosong., Wong，Derek F.., Xiao，Tong., Chao，Lidia S.., & Zhu，Jingbo (2017). Towards bidirectional hierarchical representations for attention-based neural machine translation. EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings, 1432-1441.

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